SAP MDG Functional

As a Senior Analytics Engineer, you will be responsible for transforming the wealth of data into trusted, well-modeled datasets that power analytics, reporting, and data science initiatives across the organization. You should have a strong foundation in data modeling, SQL, and Python, deep understanding of business metrics, and a passion for making data accessible and understandable to stakeholders at all levels.

This is a 6-month contract engagement.

What You'll Do

Primary responsibilities include, but are not limited to:

● Design and implement robust dimensional and relational data models that support analytical use cases for organizations across the business

● Build and maintain scalable dbt transformation pipelines, ensuring high data quality, performance, and cost-efficiency from raw ingestion to business-ready outputs

● Own the transformation and modeling of curated (Silver/Gold) datasets, ensuring clear contracts and traceability from raw to business-ready data.

● Collaborate with data analysts, product analytics, data scientists, and business stakeholders to translate requirements into durable data products that support experimentation, A/B testing, and advanced analytics

● Implement data quality tests, monitoring, SLAs, and alerting to ensure reliability of critical analytical datasets

● Partner with Data Engineers to define and enforce data contracts, ensuring schema stability and minimizing downstream breakage

● Follow analytics engineering best practices including version control, testing standards, and documentation

● Empower self-service analytics by building intuitive, well-documented data marts and semantic layers

What We're Looking For

Must Have Skills-DBT + Databricks + AWS + SQL + Python

● Minimum 8+ years of experience in analytics engineering, data modeling, or similar roles working with enterprise-scale data, and demonstrated ownership of data products and cross-functional collaboration

● Expert-level SQL skills with deep understanding of query optimization and performance tuning

● Extensive experience with dbt (data build tool) including testing, documentation, and package management

● Strong programming skills in Python for data manipulation, automation, and custom analytics workflows

● Strong understanding of dimensional modeling, star schemas, one big table, and other data modeling methodologies

● Experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks)

● Familiarity with orchestration frameworks (Airflow) and how analytics transformations are

scheduled within broader data workflows

Experience working with version control systems (Git) and implementing CI/CD for analytics code

● Strong business acumen and ability to translate business requirements into well-designed data models

● Understanding of data governance, privacy, and compliance requirements (GDPR, CCPA, and SOX)

● Familiarity with BI tools (Tableau, Looker, Mode, or similar) and how analysts consume data

● Strong ownership mindset with a passion for deeply understanding ambiguous business problems and translating them into clean, maintainable, and well-tested data models.

● Excellent communication skills with ability to explain technical concepts to both technical and non-technical audiences

● Dedication to data quality, documentation, and empowering others through self-service analytics

● Bachelor's Degree in a technical field, or equivalent experience